Simo Särkkä
12 papers · 2012–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(13)
🏆
Keyword Champion
(2)
📈
Trend Setter
💎
Century Club
(12)
Conferences
AISTATS (5)
JMLR (3)
NIPS (2)
ICML (1)
RSS (1)
Top co-authors
Research topics
Keywords
bayesian inference
(5)
gaussian process
(5)
state space model
(3)
parallel computing
(2)
kalman filter
(2)
gaussian process regression
(2)
stochastic differential equation
(2)
kalman filtering
(2)
state-space model
(2)
markov chain monte carlo
(1)
diffusion process
(1)
time series
(1)
spatio-temporal modeling
(1)
sequential monte carlo
(1)
natural gradient
(1)
uncertainty quantification
(1)
state estimation
(1)
expectation propagation
(1)
diffusion processes
(1)
system identification
(1)
Papers
Conditioning diffusion models by explicit forward-backward bridging
AISTATS 2025
Parallel-in-Time Probabilistic Numerical ODE Solvers
JMLR 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems
ICML 2024
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
JMLR 2023
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
JMLR 2022
A Bayes-Sard Cubature Method
NIPS 2018
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
AISTATS 2016
State Space Methods for Efficient Inference in Student-t Process Regression
AISTATS 2015
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression
RSS 2014
Explicit Link Between Periodic Covariance Functions and State Space Models
AISTATS 2014
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
AISTATS 2012
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
NIPS 2012